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Antonio Della Cioppa
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2020 – today
- 2024
- [j27]Ivanoe De Falco
, Antonio Della Cioppa
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine. Biomed. Signal Process. Control. 87(Part B): 105416 (2024) - [c68]Antonio Della Cioppa, Angelo Marcelli, Antonio Iannaccone:
Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease. CEC 2024: 1-7 - [c67]Leonardo Lucio Custode
NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. GECCO 2024 - 2023
- [j26]Antonio Della Cioppa, Ivan De Falco, Tomas Koutny, Umberto Scafuri
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. Appl. Soft Comput. 134: 110012 (2023) - [j25]Ivanoe De Falco
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. Sensors 23(6): 2957 (2023) - 2022
- [j24]Martin Ubl
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. Sensors 22(23): 9445 (2022) - [c66]Giuseppe De Gregorio, Antonio Della Cioppa, Angelo Marcelli:
Negative Selection Algorithm for Alzheimer's Diagnosis: Design and Performance Evaluation. EvoApplications 2022: 531-546 - [c65]Antonio Parziale
Investigating One-Class Classifiers to Diagnose Alzheimer's Disease from Handwriting. ICIAP (1) 2022: 111-123 - [c64]Antonio Parziale
Mimicking the immune system to diagnose Parkinson's disease from handwriting. ICPR 2022: 2496-2502 - [c63]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri
An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models. ISCC 2022: 1-6 - 2021
- [j23]Antonio Parziale
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. Artif. Intell. Medicine 111: 101984 (2021) - [c62]Ivanoe De Falco, Antonio Della Cioppa, Angelo Marcelli, Umberto Scafuri
Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach. GECCO Companion 2021: 1708-1716 - [c61]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri
Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. ISCC 2021: 1-6 - 2020
- [j22]Enrico Ferrentino
An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators. J. Intell. Robotic Syst. 99(2): 245-260 (2020) - [c60]Leonardo Lucio Custode
A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. EvoApplications 2020: 513-529 - [c59]Ivan Colucci, Giuseppe Pellegrino, Antonio Della Cioppa, Angelo Marcelli:
Learning to walk - reward relevance within an enhanced neuroevolution approach. GECCO Companion 2020: 1832-1840 - [c58]Ivanoe De Falco, Umberto Scafuri
A Grammatical Evolution Approach for Estimating Blood Glucose Levels. GLOBECOM (Workshops) 2020: 1-6 - [c57]Federica Cavaliere, Antonio Della Cioppa, Angelo Marcelli, Antonio Parziale
Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. ISCC 2020: 1-6 - [i1]Ivan De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution. CoRR abs/2004.00553 (2020)
2010 – 2019
- 2019
- [j21]Ivanoe De Falco, Antonio Della Cioppa
A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. Appl. Soft Comput. 77: 316-328 (2019) - [j20]Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa
Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes. Future Gener. Comput. Syst. 98: 377-391 (2019) - [j19]Rosa Senatore, Antonio Della Cioppa
Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem. Inf. 10(1): 30 (2019) - [j18]Ivanoe De Falco, Antonio Della Cioppa
Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization. Inf. Sci. 482: 1-26 (2019) - [j17]Andrea Casella, Ivanoe De Falco, Antonio Della Cioppa
Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution. J. Parallel Distributed Comput. 133: 307-318 (2019) - [c56]Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri
De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels. CBMS 2019: 269-274 - [c55]Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli:
Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach. CBMS 2019: 312-317 - [c54]Antonio Parziale
A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings. ICIAP (1) 2019: 196-206 - [c53]Tomas Koutny, Martin Ubl
Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels. ISCC 2019: 1056-1061 - 2018
- [j16]Ivanoe De Falco, Antonio Della Cioppa
Genetic Programming-based induction of a glucose-dynamics model for telemedicine. J. Netw. Comput. Appl. 119: 1-13 (2018) - [c52]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino:
An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements. HEALTHINF 2018: 625-632 - [c51]Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino:
Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution. HEALTHINF 2018: 633-640 - [c50]Ivanoe De Falco, Umberto Scafuri
An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. ISCC 2018: 1158-1163 - [c49]Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe A. Trunfio
Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes. ISCC 2018: 1187-1192 - 2017
- [c48]Ivanoe De Falco, Antonio Della Cioppa
Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling. GECCO (Companion) 2017: 1788-1795 - [c47]Ivanoe De Falco, Antonio Della Cioppa
Exploiting diversity in an asynchronous migration model for distributed differential evolution. GECCO (Companion) 2017: 1880-1887 - [c46]Ivanoe De Falco, Umberto Scafuri
Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming. ISCC 2017: 284-289 - 2016
- [c45]Nicola Femia, Mario Migliaro, Antonio Della Cioppa
A genetic programming approach to modeling power losses of Insulate Gate Bipolar Transistors. CEC 2016: 4705-4712 - [c44]Ivanoe De Falco, Umberto Scafuri
An asynchronous adaptive multi-population model for distributed differential evolution. CEC 2016: 5010-5017 - [c43]Ivanoe De Falco, Antonio Della Cioppa
Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution. SITIS 2016: 643-651 - 2015
- [j15]Pietro Luigi Carotenuto, Antonio Della Cioppa
An evolutionary approach to the dynamical reconfiguration of photovoltaic fields. Neurocomputing 170: 393-405 (2015) - [c42]Kateryna Stoyka, Giulia Di Capua
Identification of ferrite core inductors parameters by evolutionary algorithms. INDIN 2015: 1648-1653 - 2014
- [j14]Ivan De Falco
An adaptive invasion-based model for distributed Differential Evolution. Inf. Sci. 278: 653-672 (2014) - [c41]Ivanoe De Falco
Impact of the Topology on the Performance of Distributed Differential Evolution. EvoApplications 2014: 75-85 - [c40]Ivanoe De Falco
Using an adaptive invasion-based model for fast range image registration. GECCO 2014: 1095-1102 - 2013
- [c39]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Adding Chaos to Differential Evolution for Range Image Registration. EvoApplications 2013: 344-353 - [c38]Claudio De Stefano
Evolutionary approaches for pooling classifier ensembles: Performance evaluation. SoCPaR 2013: 309-314 - 2012
- [j13]Ivan De Falco
Biological invasion-inspired migration in distributed evolutionary algorithms. Inf. Sci. 207: 50-65 (2012) - 2011
- [c37]Ivanoe De Falco
A Model Based on Biological Invasions for Island Evolutionary Algorithms. Artificial Evolution 2011: 157-168 - [c36]Antonio Della Cioppa
Speciation in evolutionary algorithms: adaptive species discovery. GECCO 2011: 1053-1060 - 2010
- [j12]Ivanoe De Falco, Antonio Della Cioppa
A Distributed Bio-Inspired Method for Multisite Grid Mapping. Appl. Comput. Intell. Soft Comput. 2010: 505194:1-505194:10 (2010)
2000 – 2009
- 2009
- [c35]Ivan De Falco
Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case. Artificial Evolution 2009: 1-12 - [c34]Ivanoe De Falco
Extremal Optimization as a Viable Means for Mapping in Grids. EvoWorkshops 2009: 41-50 - [c33]Ivanoe De Falco, Domenico Maisto, Umberto Scafuri
An innovative perspective on mapping in grids. BADS@ICAC 2009: 27-36 - 2008
- [j11]Ivanoe De Falco
Differential Evolution as a viable tool for satellite image registration. Appl. Soft Comput. 8(4): 1453-1462 (2008) - [c32]Ivanoe De Falco, Antonio Della Cioppa
CTRNN Parameter Learning using Differential Evolution. ECAI 2008: 783-784 - [c31]Ivanoe De Falco
Automatic Recognition of Hand Gestures with Differential Evolution. EvoWorkshops 2008: 265-274 - [e1]Michael O'Neill, Leonardo Vanneschi, Steven M. Gustafson, Anna Esparcia-Alcázar, Ivanoe De Falco, Antonio Della Cioppa
Genetic Programming, 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4971, Springer 2008, ISBN 978-3-540-78670-2 [contents] - 2007
- [j10]Ivanoe De Falco
Facing classification problems with Particle Swarm Optimization. Appl. Soft Comput. 7(3): 652-658 (2007) - [j9]Moussa Djioua, Réjean Plamondon
Deterministic and Evolutionary Extraction of Delta-Lognormal Parameters: Performance Comparison. Int. J. Pattern Recognit. Artif. Intell. 21(1): 21-41 (2007) - [j8]Antonio Della Cioppa
Where Are the Niches? Dynamic Fitness Sharing. IEEE Trans. Evol. Comput. 11(4): 453-465 (2007) - [c30]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri
Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data. EuroGP 2007: 351-360 - [c29]Ivanoe De Falco, Antonio Della Cioppa
Satellite Image Registration by Distributed Differential Evolution. EvoWorkshops 2007: 251-260 - [c28]Ivanoe De Falco, Antonio Della Cioppa
Multiobjective Differential Evolution for Mapping in a Grid Environment. HPCC 2007: 322-333 - [c27]Ivanoe De Falco
Distributed Differential Evolution for the Registration of Remotely Sensed Images. PDP 2007: 358-362 - [c26]Ivanoe De Falco
A Distributed Differential Evolution Approach for Mapping in a Grid Environment. PDP 2007: 442-449 - [c25]Ivanoe De Falco
A Multiobjective Evolutionary Approach for Multisite Mapping on Grids. PPAM 2007: 991-1000 - 2006
- [c24]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. IEEE Congress on Evolutionary Computation 2006: 2444-2450 - [c23]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Ernesto Tarantino:
A Genetic Programming Approach to Solomonoff's Probabilistic Induction. EuroGP 2006: 24-35 - [c22]Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Automatic Classification of Handsegmented Image Parts with Differential Evolution. EvoWorkshops 2006: 403-414 - 2005
- [j7]Ivan De Falco
An evolutionary approach for automatically extracting intelligible classification rules. Knowl. Inf. Syst. 7(2): 179-201 (2005) - [c21]Ivan De Falco
A new variable-length genome genetic algorithm for data clustering in semeiotics. SAC 2005: 923-927 - [c20]Ivan De Falco
A novel grammar-based genetic programming approach to clustering. SAC 2005: 928-932 - [c19]Ivan De Falco
Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach. SAC 2005: 957-958 - [c18]Ivan De Falco, Antonio Della Cioppa
Genetic Programming for Inductive Inference of Chaotic Series. WILF 2005: 156-163 - [c17]Ivan De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Evaluation of Particle Swarm Optimization Effectiveness in Classification. WILF 2005: 164-171 - 2004
- [j6]Antonio Della Cioppa
On the role of population size and niche radius in fitness sharing. IEEE Trans. Evol. Comput. 8(6): 580-592 (2004) - [c16]Ivanoe De Falco
An Innovative Approach to Genetic Programming - based Clustering. WSC 2004: 55-64 - [c15]Ivanoe De Falco
A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics. WSC 2004: 441-450 - 2003
- [c14]Claudio De Stefano
Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. ICDAR 2003: 671-675 - 2002
- [j5]Ivan De Falco
Discovering interesting classification rules with genetic programming. Appl. Soft Comput. 1(4): 257-269 (2002) - [j4]Ivan De Falco
Mutation-based genetic algorithm: performance evaluation. Appl. Soft Comput. 1(4): 285-299 (2002) - [j3]Claudio De Stefano
Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. Pattern Recognit. 35(5): 1025-1037 (2002) - [j2]Claudio De Stefano
Character preclassification based on genetic programming. Pattern Recognit. Lett. 23(12): 1439-1448 (2002) - [c13]Ivanoe De Falco
Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach. IEEE Congress on Evolutionary Computation 2002: 231-236 - [c12]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. ICPR (2) 2002: 192-195 - 2001
- [c11]Claudio De Stefano
An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. ICDAR 2001: 952-956 - [c10]Claudio De Stefano
Grouping Character Shapes by Means of Genetic Programming. IWVF 2001: 504-513 - 2000
- [c9]Ivanoe De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa
An evolutionary system for automatic explicit rule extraction. CEC 2000: 450-457 - [c8]Ivan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe Trautteur:
A Kolmogorov Complexity-based Genetic Programming Tool for String Compression. GECCO 2000: 427-434
1990 – 1999
- 1999
- [j1]Ivan De Falco, Antonio Della Cioppa
A new mutation operator for evolutionary airfoil design. Soft Comput. 3(1): 44-51 (1999) - [c7]Claudio De Stefano
Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. Document Recognition and Retrieval 1999: 64-72 - [c6]Ivan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, A. Iacuelli:
Towards a Simulation of Natural Mutation. GECCO 1999: 156-163 - [c5]Claudio De Stefano
Handwritten Numeral Recognition by means of Evolutionary Algorithms. ICDAR 1999: 804-807 - [c4]Luigi P. Cordella, Claudio De Stefano
A New Evolutionary Learning Model for Handwritten Character Prototyping. ICIAP 1999: 830-835 - 1997
- [c3]Ivan De Falco, M. Conte, Antonio Della Cioppa, Ernesto Tarantino, Giuseppe Trautteur:
Genetic Programming Estimates of Kolmogorov Complexity. ICGA 1997: 743-750 - 1996
- [c2]Ivan De Falco, Renato Del Balio, Antonio Della Cioppa, Ernesto Tarantino:
Breeder Genetic Algorithms for Airfoil Design Optimisation. International Conference on Evolutionary Computation 1996: 71-75 - [c1]Ivan De Falco, Antonio Della Cioppa
Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design. PPSN 1996: 982-991
Coauthor Index
Ivanoe De Falco
aka: Ivan De Falco
aka: Ivan De Falco
[j27] [c67] [j26] [j25] [j24] [c63] [c62] [c61] [c58] [i1] [j21] [j20] [j18] [j17] [c56] [c53] [j16] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [j14] [c41] [c40] [c39] [j13] [c37] [j12] [c35] [c34] [c33] [j11] [c32] [c31] [e1] [j10] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [j7] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j5] [j4] [c13] [c9] [c8] [j1] [c6] [c3] [c2] [c1]
[j27] [j26] [j25] [j24] [c63] [c62] [c61] [c58] [i1] [j21] [j20] [j17] [c56] [c53] [j16] [c52] [c51] [c50] [c49] [c47] [c46] [c44] [c43] [j14] [c41] [c40] [c39] [j13] [c37] [j12] [c35] [c34] [c33] [j11] [c32] [c31] [e1] [j10] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [j7] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j5] [j4] [c13] [c9] [c8] [j1] [c6] [c3] [c2] [c1]
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last updated on 2024-08-21 20:29 CEST by the dblp team
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